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ICML
2006
IEEE
16 years 3 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ICPR
2010
IEEE
15 years 10 months ago
Bayesian Inference for Nonnegative Matrix Factor Deconvolution Models
In this paper we develop a probabilistic interpretation and a full Bayesian inference for non-negative matrix deconvolution (NMFD) model. Our ultimate goal is unsupervised extract...
Serap Kirbiz, Ali Taylan Cemgil, Bilge Gunsel
HUMO
2007
Springer
15 years 9 months ago
Silhouette Based Generic Model Adaptation for Marker-Less Motion Capturing
This work presents a marker-less motion capture system that incorporates an approach to smoothly adapt a generic model mesh to the individual shape of a tracked person. This is don...
Martin Sunkel, Bodo Rosenhahn, Hans-Peter Seidel
AMOST
2005
ACM
15 years 8 months ago
A simulation model of a multi-server EJB system
Despite the fact that EJB (Enterprise Java Beans) is a widely used technology, research in the area of performance modelling of EJB application servers is quite sparse. This paper...
David McGuinness, Liam Murphy
ICASSP
2009
IEEE
15 years 6 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III